Medical Image Reconstruction : : From Analytical and Iterative Methods to Machine Learning / / Gengsheng Lawrence Zeng.
This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not i...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
| Year of Publication: | 2023 |
| Edition: | 2nd edition |
| Language: | English |
| Series: | De Gruyter Textbook
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| Online Access: | |
| Physical Description: | 1 online resource (XIV, 273 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Contents
- 1 Basic principles of tomography
- 2 Parallel-beam image reconstruction
- 3 Fan-beam image reconstruction
- 4 Transmission and emission tomography
- 5 Three-dimensional image reconstruction
- 6 Iterative reconstruction
- 7 MRI reconstruction
- 8 Using FBP to perform iterative reconstruction
- 9 Machine learning
- Index